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In image steganography, embedding data in texture image regions will cause less distortion than smooth ones. An efficient strategy to enhance the resistance capability to steganalysis is exploiting the texture image regions for steganography. In this paper, an adaptive image steganographic scheme based on pixel selection and syndrome-trellis codes (STCs) is proposed. With the measurement design of...
To improve the embedding efficiency of steganography, syndrome coding based on the coding theory has attracted many researchers’ attentions. In this paper, we make use of the relationship between syndrome coding for minimizing additive distortion and maximum likelihood decoding for linear codes to analyze the main parameters of convolutional codes which influence the embedding efficiency. And, the...
Syndrome-trellis codes provide a flexible framework for adaptive steganography, but how to construct the proper distortion weight function is still a disturbing question. In this paper, we propose to use an exponential function based on the local complexity to define the risk caused by the data embedding. And the steganography based on the payload-adaptive embedding risk and syndrome-trellis codes...
In this paper, an adaptive matrix embedding method is proposed for grayscale images. The 2×4 pixel block is taken as a cover unit. The local correlation of the block is used to determine the message bit amount and choose the corresponding matrix embedding strategy. The method can embed less in image parts with high local correlation and more in image parts with low local correlation. The experimental...
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